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Data Science Research Manager

University of California - San Francisco Campus and Health
United States, California, San Francisco
January 02, 2024

Data Science Research Manager

Bioengineering

Full Time

75567BR

Job Summary

The Savic Lab at UCSF is looking for a Data Science Research Manager who has the ability to manage multiple complex projects simultaneously. This leader receives assignments in the form of objectives and determines how to use available resources to meet schedules and goals. Reviews and approves recommendations for HPC /Data / CI research, development and technology programs and initiatives. Provides guidance to subordinates to achieve research and technology goals in accordance with established policies. Erroneous decisions or failure to achieve goals results in additional costs and personnel, and delays in overall schedules of research and development projects.

Equipped with cutting-edge technology to ensure the successfully delivery of projects, the incumbent will use advanced computational, computer science, data science, and CI software research and development principles, with a focus on computational biology, biological systems modeling, and pharmacometrics. They will lead the enhancement of the lab's platform development capabilities with data science expertise. The incumbent would bring methods, processes, algorithms and systems to extract knowledge and insights from noisy, structured and unstructured data across a broad range of domains. Preference will be given to candidates who excel in data analysis and data visualization leadership and management.

To see the salary range for this position (we recommend that you make a note of the job code and use that to look up):

Please note: The compensation ranges listed online for roles not covered by a bargaining unit agreement are very wide, however a job offer will typically fall in the range of 80% - 120% of the established mid-point. An offer will take into consideration the experience of the final candidate AND the current salary level of individuals working at UCSF in a similar role.

For roles covered by a bargaining unit agreement, there will be specific rules about where a new hire would be placed on the range.

To learn more about the benefits of working at UCSF, including total compensation, please visit:

Department Description

The Department of Bioengineering and Therapeutic Sciences is a joint department that reports to both the School of Medicine (SOM) and the School of Pharmacy (SOP). Its faculty perform high-quality basic, translational and clinical research in the fields of drug development, pharmacogenomics, therapeutic engineering and computational biology. It educates PharmD, MD professionals and PhDs in bioengineering and therapeutic sciences.

The research laboratory of Dr. Rada Savic, in the Department of Bioengineering and Therapeutic Sciences of the University of California, San Francisco (UCSF), is engaged in groundbreaking drug development projects for infectious diseases including tuberculosis, HIV, and malaria, as well as pain management and autoimmune disease with a focus on identifying optimal treatment regimens. We develop and apply disease models, perform pharmacokinetic and pharmacodynamic evaluations, build physiology-based pharmacokinetic models, conduct exposure-response analyses, and utilize model-based simulations with the ultimate goal to optimize treatment in adult and pediatric patient populations. While pharmacokinetic-pharmacodynamic concepts and advanced quantitative clinical pharmacology principles have been integrated into the clinical development of compounds across many therapeutic areas, human dose prediction and early clinical evaluation of the efficacy and safety of candidate molecules for infectious diseases remains empirical. Innovative approaches are required to enable effective translation of nonclinical data, providing insight into the selection of rational combinations and optimized clinical trial designs.

Required Qualifications


  • Bachelor's degree in Computer / Computational / Data Science, or Domain Sciences with computer (Biomedical Sciences, Biomedical Engineering) / computational / data specialization and/or equivalent experience/training.
  • Minimum 5 year of experience as a lead/supervisor/manager.
  • Minimium 6 years of expereince managing in a research organization or related experience.
  • Proven ability to lead a technical staff of HPC / Data / CI and / or scientific personnel, including projects performed by multiple developers.
  • Broad knowledge of research and development methods, HPC hardware and software power and performance analysis and research, design, modification, implementation and deployment of HPC or data science or CI applications and tools.
  • Proven ability to communicate technical information to technical and non-technical personnel at various levels in the organization and to external research and education audiences.
  • Proven experience working in a complex computing / data / CI environment encompassing all or some of the following: HPC, data science infrastructure and tools / software, and diverse domain science application base.
  • Proven research and technology project leadership and management skills.
  • Administers policies that directly affect subordinate employees and their assignments.
  • Verbal and written communication, quantitative abilities, strong analytical skills.
  • Thorough knowledge of subject area for strategic planning, research and technology assessment and direction.
  • Demonstrates values of excellence, innovation and integrity.

Preferred Qualifications


  • Proven ability to initiate research proposals and acquire funding.
  • Demonstrated knowledge about research centers and systemwide protocols and procedures for budget and account management.
  • Experience in the management of ongoing HPC / Data / CI technology infrastructure acquisition and expansion, to include the identification and integration of emerging hardware and software technologies.
  • Proven critical thinking, persuasion/negotiation, conflict resolution, mentoring and staff development, supervision, problem solving, human resources policies and procedures relating to management responsibilities.

About UCSF

The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. We bring together the world's leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells.

Pride Values

UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence - also known as our PRIDE values.

In addition to our PRIDE values, UCSF is committed to equity - both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available at

Join us to find a rewarding career contributing to improving healthcare worldwide.

Equal Employment Opportunity

The University of California San Francisco is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

Organization

Campus

Job Code and Payroll Title

006025 CMPTL AND DATA SCI RSCH MGR 1

Job Category

Clinical Systems / IT Professionals, Research and Scientific, Supervisory / Management

Bargaining Unit

99 - Policy-Covered (No Bargaining Unit)

Employee Class

Career

Percentage

100%

Location

Mission Bay (SF)

Shift

Days

Shift Length

8 Hours

Additional Shift Details

Monday - Friday; 8:00 AM - 5:00 PM

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